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FRACTAL MODELLING AND ANALYSIS OF FLOW-FIELD IMAGES

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机构: [1]Biomedical Imaging Group, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland [2]Dept of Diagnostic Radiology – Medical Physics, University Hospital Freiburg, Germany [3]Dept of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
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关键词: vector fractional Brownian motion flow-sensitive MRI wavelets vector fields Hurst exponent curl divergence

摘要:
We introduce stochastic models for flow fields with parameters that dictate the scale-dependent (self-similar) character of the field and control the balance between its rotational vs compressive behaviour. The development of our models is motivated by the availability of imaging modalities that measure flow vector fields (flow-sensitive MRI and Doppler ultrasound). To study such data, we formulate estimators of the model parameters, and use them to quantify the Hurst exponent and directional properties of synthetic and real-world flow fields (measured by means of phase-contrast MRI) in 3D.

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第一作者机构: [1]Biomedical Imaging Group, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
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